Intel PyTorch Extension Boosts LLM Performance
Intel's PyTorch Extension v2.7 enhances LLM support with DeepSeek-R1, Phi-4 integration, and performance optimizations, empowering developers on Intel platforms.
Tag: Phi
Microsoft's Phi Silica Gains Multimodal Vision
Microsoft has enhanced its Phi Silica SLM, enabling it to 'see' and adding multimodal functionality, driving innovative AI features like Recall and transforming productivity and accessibility capabilities.
Open Codex CLI: Local AI Coding
Open Codex CLI is a local-first, open-source alternative to OpenAI's Codex, empowering developers with AI-assisted coding using locally run models for enhanced control and privacy.
Microsoft's 1-Bit AI Model Runs Efficiently on CPUs
Microsoft's BitNet b1.58 2B4T is a groundbreaking 1-bit AI model, freely available and designed for efficient CPU operation, enhancing accessibility and performance without powerful GPUs.
Microsoft's BitNet: Revolutionizing AI with 1-Bit
Microsoft's BitNet b1.58 2B4T, a 1-bit AI model, boasts 2 billion parameters and operates efficiently on standard CPUs. This innovation promises wider AI deployment due to its accessibility and resource efficiency.
Microsoft BitNet: CPU AI, M2-like, GPU-Free
Microsoft's BitNet runs on CPUs like Apple M2, GPU-free, doubled speed, lightweight, and open-source. It's revolutionizing resource-efficient AI, enabling deployment on devices with limited resources, fostering collaboration and innovation.
Microsoft's Hyper-Efficient AI Model on CPUs
Microsoft introduces BitNet b1.58 2B4T, a hyper-efficient AI model designed to run on CPUs, including Apple's M2, democratizing AI across diverse hardware platforms with speed and reduced memory usage.
CWRU Boosts AI with New AI Agents
CWRU enhances its AI capabilities by adding advanced AI agents, including general-purpose LLMs like Mistral Large and specialized tools, to offer diverse resources for students, faculty, and researchers, ensuring data security and privacy while expanding the university's AI ecosystem.
AI Streamlines JAL Workflows: Fujitsu & Headwaters
Fujitsu and Headwaters used AI to revolutionize JAL cabin crew handover reports, achieving substantial time savings and enhanced efficiency via offline generative AI.
AI Revolutionizes Cabin Crew Workflows at Japan Airlines
Fujitsu and Headwaters' on-device generative AI streamlines handover reports for Japan Airlines cabin crew, enhancing efficiency and passenger service.